A Model for Evaluating the Performance of the Bearing Manufacturing Process
Source abstract
Abstract
Reliability and product process quality are essential in meeting market demand and enhancing competitiveness in the machine tool industry. In addition, manufacturing time performance is also one of the important indices. Therefore, this paper focuses on process quality and manufacturing time and defines a manufacturing time performance index to feedback the acceptance rate of the manufacturing time. The process performance evaluation chart delineated the observations of variations in various workstations, and, hence, in controlling the stability of the work process. The Six Sigma quality indices are constructed by the process accuracy indices and precision indices are represented by X-axis and Y-axis respectively. The process quality evaluation chart evaluates the level of the process quality, as well as proposes the direction of improvement. The manufacturing time performance—Z-axis is used to assess whether the manufacturing time performance meets the requirements. The process performance evaluation chart constructed by this paper makes it easier for researchers to observe which workstations have a process variation in the process, to control the stability of the process effectively, to provide the improvement reference for staff on the scene and to enhance the competitiveness of the industry.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Statistical Process Monitoring · Manufacturing Process and Optimization · Quality and Management Systems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Industrial Engineering and Management, National Chin-Yi University of Technology, Taichung 41170, Taiwan
Institute of Innovation and Circular Economy, Asia University, Taichung 41354, Taiwan
Counseling Center, National Chin-Yi University of Technology, Taichung 41170, Taiwan
Department of Finance, National Taichung University of Science and Technology, Taichung 40401, Taiwan
Department of Finance, Chaoyang University of Technology, Taichung 41349, Taiwan
References (26)
Show source-provided references
1. Performance evaluation on manufacturing times10.1007/s00170-005-0189-4 ↗
2. Estimating process capability index C′′pmk for asymmetric tolerances: Distributional properties10.1007/s184-002-8368-8 ↗
3. Evaluation of performance in introducing CE marking on the European market to the machinery industry in Taiwan10.1108/02656710510598401 ↗
4. The evaluation of process capability for a machining center10.1007/s00170-006-0481-y ↗
5. Application of 6-sigma design system to developing an improvement model for multi-process multi-characteristic product quality10.1177/2041297510393464 ↗
6. A study of process quality assessment for golf club-shaft in leisure sport industries10.1520/JTE104269 ↗
7. A MAIC approach to TFT-LCD panel quality improvement10.1016/j.microrel.2005.10.003 ↗
8. Process capability monitoring chart with an application in the silicon-filler manufacturing process10.1016/j.ijpe.2005.11.004 ↗
9. Integrated process capability analysis with an application in backlight module10.1016/S0026-2714(02)00126-9 ↗
10. Enhancement of axle bearing quality in sewing machines using Six Sigma10.1243/09544054JEM1769 ↗
11. The construction and application of Six Sigma quality indices10.1080/00207543.2016.1246763 ↗
12. Chang, T.C., and Chen, K.S. (2018). Testing process quality of wire bonding with multiple gold wires from the viewpoint of producers. Int. J. Prod. Res.10.1080/00207543.2018.1524164 ↗
13. Developing a fuzzy green supplier selection model using Six Sigma quality indices10.1016/j.ijpe.2019.02.005 ↗
14. Developing one-sided specification Six-Sigma fuzzy quality index and testing model to measure the process performance of fuzzy information10.1016/j.ijpe.2018.12.025 ↗
15. Wu, M.F., Chen, H.Y., Chang, T.C., and Wu, C.F. (2019). Quality evaluation of internal cylindrical grinding process with multiple quality characteristics for gear products. Int. J. Prod. Res.10.1080/00207543.2019.1567951 ↗
16. Developing a multi-quality characteristic analysis model to measure the quality of quick-release bicycle hubs10.1080/02533839.2019.1584763 ↗
17. Performance measurement for a manufacturing system based on quality, cost and time10.1080/00207540500446360 ↗
18. Group selection for processes with multiple quality characteristics10.1080/03610926.2017.1364392 ↗
19. A new process capability index for multiple quality characteristics based on principal components10.1080/00207543.2015.1091520 ↗
20. Sputtering process assessment of ITO film for multiple quality characteristics with one-sided and two-sided specifications10.1520/JTE20130054 ↗
21. Quality evaluation of a manufactured product with multiple characteristics10.1002/qre.712 ↗
22. Measuring production yield for processes with multiple quality characteristics10.1080/00207540600589119 ↗
23. Montgomery, D.C. (2001). Introduction to Statistical Quality Control, Wiley. [4th ed.].
24. Process capability analysis for an entire product10.1080/00207540110073082 ↗
25. Measuring production yield for processes with multiple characteristics10.1080/00207540903036313 ↗
26. Yang, C.M., Lin, K.P., and Chen, K.S. (2019). Confidence interval based fuzzy evaluation model for an integrated-circuit packaging molding process. Appl. Sci., 9.10.3390/app9132623 ↗